搜索资源列表
数据采集
- 好的数据决定了模型的上限,模型只是不断去逼近这个上限(good dataset decided maximum precision a module can approximate)
20170110_KMeans
- 在花卉数据集上,用Java实现的简单K-means算法。(In flower dataset, a simple K-means algorithm is implemented by Java.)
DCT
- 机器学习的决策树,通过调用sklearn中的函数完成,同时可以对txt文件中的数据集进行分类(Decision Tree,machine learning,separate the dataset in txt files.)
dataset
- SSD_tensorflow源代码,非常实用,3天上手(SSD_tensorflow source code, very practical, 3 days to get started.)
MNIST_data
- Mnist完整数据集,已经实验过,可以应用。(Mnist complete dataset has been tested and applied.)
CNN
- 手写体识别的训练,采用卷积神经网络,附带数据集下载代码(The training of handwritten recognition is based on convolution neural network, and the download from the dataset.)
Surveillance_Videodatasets
- This is a multiview camera based surveillance video dataset summary.
SVM_smo_C++
- 该例程使用C++语言实现,支持向量机的SMO算法,包含标注的数据集,实现13维分类(Implement SVM-SMO algorithm using C++,including training dataset)
p29-ionescu
- Div400: A Social Image Retrieval Result Diversification Dataset
p35-reuter
- Social Event dEtection Dataset
p41-loni
- An Enriched Social Image Dataset for Fashion and Clothing
dolphins
- 复杂网络数据集dolphins的可视化程序(the networks dataset dolphins)
Ransac_ls
- ransac算法Matlab 实现 RANSAC算法全称是随机抽样一致算法(random sample consensus,RANSAC),RANSAC算法的基本假设是样本中包含正确数据(inliers,可以被模型描述的数据),也包含异常数据(outliers,偏离正常范围很远、无法适应数学模型的数据),即数据集中含有噪声。(The ransac algorithm Matlab achieves the RANSAC algorithm's full name is the random sa
get_temp
- 从micaps diamond1 地面资料中提取某站气温要素的资料,并输出到.txt和.grd格式的文件中,便于查看和画图(Get surface temperature of certain station from micaps diamond1 dataset, generate .txt and .grd files so as to check and draw plots)
PCA+SVM
- 采用经典的ORL人脸数据集,利用PCA进行进行降维,然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
MLP_iris
- 一个简单的多层感知器实现鸢尾花数据的分类的代码(use mlp to realize the classification of Iris dataset)
kmeans
- 用natlab将iris数据聚类为三类。然后将结果与虹膜数据集中的正确结果进行比较,并计算分类精度(You are offered the iris dataset of the UCI dataset. Cluster the data to three categories. Then compare the result with the correct one in iris dataset and compute the classification accuracy.)
subareaFlevoland
- 极化SAR图像分类数据,Flevoland部分地区T3矩阵数据(Dataset for PolSAR image classification, T3 matrix of Flevoland subarea.)
ID3决策树算法实验
- 决策树ID3算法实验_数据集car_databases。用python编写的决策树ID3算法,运用了Car-Evaluation的例子。BUG较少,综合了网上的优秀代码,并进一步形成自己的代码。代码基本有注释,风格良好,能够很快看懂。内含有比较规范的报告文档,包含所有流程图,说明图,以及文档风格绝对不错,无需更改,建议下载! 该算法所测试的数据集如下(已经打包在内,并已经生成xls格式,方便直接使用): 已知:UCI标准数据集Car-Evaluation,定义了汽车性价比的4 个
adult
- 本人课设实现的基于决策树和朴素贝叶斯对Adult数据集进行分类!(Adult dataset is classified based on decision tree and naive bayes!)